• AI’s Third Wave in Medicine—Christian Rose on Why This Time Is Different
    Nov 13 2025
    In this episode we speak with Dr. Christian Rose. Christian is an emergency physician and clinical informaticist at Stanford University specializing in the intersection of clinical medicine, information systems and innovation - specifically in machine learning, decision support, user-centered design and global health. We discuss the transformative potential of AI, particularly generative AI, in patient care and emergency medicine. The conversation explores the evolution of AI in medicine, the challenges of accuracy in generative AI, and the historical context of AI development. We also address the implications of AI for global health equity and the future of medical training, emphasizing the importance of finding one's voice in the medical field. Some highlights
    • The evolution of AI in medicine has gone through distinct historical phases.
    • Generative AI's accuracy is a significant concern in medical applications.
    • Medical education needs to adapt to the changing landscape of healthcare and technology.
    Read more about Christian on his website. If you enjoy the show, please leave a ⭐⭐⭐⭐⭐ rating on Apple or a 👍🏻 on YouTube. Subscribe via the Website. Forward to a friend today!
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    26 mins
  • Voice as the Great Equalizer: Dr. Amy Ho on AI, Informatics, and Storytelling in Medicine
    Nov 6 2025
    Todays's guest is Dr. Amy Faith Ho -an Emergency Medicine Physician, Chief Systems and Informatics Officer, and TEDx Speaker Dr. Amy Faith Ho discusses her journey from high school debater to emergency medicine physician and informatics leader. Born to Taiwanese immigrants and motivated by concerns about the insurance industry, Amy shares insights on AI in healthcare—from scribing platforms to billing—and confesses to being a "ghost scanner" with point-of-care ultrasound. The conversation explores liability, consent, HIPAA's relevance in the AI era, and why storytelling connects everything in medicine. Key Topics
    • Finding voice through high school debate despite
    • Becoming passionate about healthcare after researching the insurance industry
    • AI scribing: ambient listening technology, liability, and recording retention
    • AI-assisted billing and coding in emergency medicine and surgery
    • Point-of-care ultrasound documentation challenges and workflow issues
    • Patient consent and transparency about AI use
    • HIPAA in the age of massive datasets and de-identified training data
    • Storytelling as the foundation of patient care and data analysis
    Connect with Dr. Amy Ho
    • Twitter: @AmyFaithHo
    • Website: AmyFaithHo.com
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    28 mins
  • Excellence Without Perfectionism: Amna Shabbir Minicast on Redefining Success in Medicine
    Sep 17 2025
    In this episode, we speak with Dr. Amna Shabbir about the pervasive impact of perfectionism on physicians and high achievers. Dr. Shabbir, who is dual board-certified in internal medicine and geriatric medicine with advanced training in integrative wellbeing and behavior change, hosts the Success Reimagined podcast and recently delivered a TEDx talk on this topic. She explains the three types of perfectionism that particularly affect physicians: self-oriented ("I must be perfect"), other-oriented ("others must be perfect"), and socially prescribed ("the world demands perfection from me"). The conversation explores Dr. Shabbir's coaching philosophy, which focuses on moving from perfectionism to what she calls "excellence-ism" and making success sustainable without sacrificing wellbeing. Content Warning: This episode discusses mental health crises among healthcare workers, postpartum depression, and perfectionism. If you or someone you know is struggling, please reach out. The National Suicide Prevention Lifeline is 988. If you enjoy the show, please leave a ⭐⭐⭐⭐⭐ rating on Apple or a 👍🏻 on YouTube. Subscribe via the Website. Forward to a friend today!
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    14 mins
  • Side Gig to Chief Medical Officer: Mizuho Morrison on the EM:RAP Education Empire
    Aug 21 2025
    Dr. Mizuho Morrison is Chief Medical Officer of EM:RAP emergency medicine: reviews and perspectives. A visionary physician-entrepreneur who trained in emergency medicine at LA County USC, she has revolutionized medical education through podcasting, video content, and CorePendium—EM:RAP's comprehensive online medical encyclopedia that updates daily. Mizuho was doing physician "side gigs" before it went mainstream. In 2014 she co-founded a startup 3MD (Three Mommy Doctors LLC). Mi has served as Editor-in-Chief of Hippo Education podcasts, lead editor for Urgent Care Reviews and Perspectives, and co-director of Essentials of Emergency Medicine. As CMO of EM:RAP, Dr. Morrison provides insights into how artificial intelligence is shaping the future of medical education while maintaining the delicate balance between technological innovation and trusted, peer-reviewed content. EM:RAP offers a variety of educational resources, including monthly updates, reviews of research papers, and expert discussions on common patient presentations. EM:RAP also provides educational products, such as audio and video contentShe discusses EM:RAP's strategic approach to educational innovation in a rapidly evolving digital landscape. If you enjoy the show, please leave a ⭐⭐⭐⭐⭐ rating on Apple or a 👍🏻 on YouTube. Subscribe via the Website. Forward to a friend today!
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    28 mins
  • AI Revolutionizes Healthcare Rob Arntfield is Creating Technology That Outperforms Doctors
    Aug 14 2025
    In this episode, we speak with Rob Arntfield MD, the emergency medicine and critical care physician who founded Deep Breathe, an AI company whose technology actually surpassed doctors in COVID-19 lung ultrasound diagnosis. Rob shares his journey of merging computer science roots with medical expertise during the pandemic to create breakthrough diagnostic technology. Rob is a self-described "acutivist" working as an emergency medicine and critical care physician at London Health Sciences Centre. He serves as Professor of Medicine at Western University and co-authored the textbook Point-of-Care Ultrasound. Website: https://www.deepbreathe.ai/ If you enjoy the show, please leave a ⭐⭐⭐⭐⭐ rating on Apple or a 👍🏻 on YouTube. Subscribe via the Website. Forward to a friend today!
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    29 mins
  • Who’s Responsible When AI Gets It Wrong? Sarah Gebauer on Medical Liability in the Age of AI
    Aug 7 2025
    In this episode, we speak with Sarah Gebauer MD anesthesiologist and RAND Senior Researcher, who discusses the critical questions facing healthcare professionals as AI becomes integrated into clinical practice. She's the author of "Machine Learning for MDs" newsletter and published research on physician attitudes toward AI including the BMJ Evidence-Based Medicine article Survey of US physicians' attitudes and knowledge of AI. Her company Validara Health works on evaluation frameworks for healthcare AI implementation. Physicians have been using AI for EKG interpretation for decades without fully understanding the algorithms, highlighting that transparency should focus on appropriate usage rather than complete technical knowledge. Most current AI tools operate as Software as a Service rather than regulated Medical Devices, while the FDA struggles to keep pace with rapid AI development. Despite their challenging history with EHR implementation, physicians show strong interest in learning about AI when they believe it will help patients. The medical liability landscape remains uncertain until legal precedents are established through jury awards, making documentation of clinical decision-making crucial when using AI as additional information alongside other clinical data. Traditional machine learning evaluation metrics often fail to predict real-world clinical performance, where workflow integration and clinician experience prove more important than laboratory results. For professional development, busy physicians benefit most from resources that push information directly to them, such as newsletters and targeted social media follows, rather than formal courses requiring active searching. Some places to follow along with AI in healthcare: Machine Learning for MDs newsletter TLDR AI newsletter a16z healthcare If you enjoy the show, please leave a ⭐⭐⭐⭐⭐ rating on Apple or a 👍🏻 on YouTube. Subscribe via the Website. Forward to a friend today!
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    29 mins
  • How Executive Chris Hare Discovered That Success Can Be Toxic - The Atomic Storytelling Solution
    Jul 31 2025
    This Visible Voices Minicast episode features Chris Hare, big tech marketer turned founder of The Storied Future, podcast host of The Storied Future, and atomic storytelling coach. Chris helps leaders navigate high-stakes transitions through vulnerable storytelling. This episode is part of the 2025 monthly minicast series focusing on coaching, recognizing that we all need help in our professional journeys and do better with support along the way. Atomic storytelling involves discovering stories that have been hidden, forgotten, or overlooked and using them as raw material to create a better future. Unlike traditional storytelling that focuses on structure and delivery, atomic storytelling asks what story should be told and disrupts limiting narratives that leaders have been telling for years. For further reading, Chris recommends the book "Primal Intelligence" by Angus Fletcher If you enjoy the show, please leave a ⭐⭐⭐⭐⭐ rating on Apple or a 👍🏻 on YouTube. Subscribe via the Website. Forward to a friend today!
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    14 mins
  • AI in Healthcare: Andrew Taylor on Emergency Department and Triage Evolution
    Jul 24 2025
    In this episode of The Visible Voices Podcast, Dr. Resa Lewiss explores AI in healthcare with Andrew Taylor MD MHS, a Professor and Vice Chair of Research and Innovation in Emergency Medicine at the University of Virginia. Dr. Taylor shares insights from his work on AI-informed triage systems, discusses the challenges of implementing AI in hospital settings, and explains how artificial intelligence can reduce diagnostic errors while promoting fairness in emergency care. Healthcare lags behind other industries in adopting AI tools, facing unique challenges around hospital infrastructure and personnel requirements. Large language models require substantial computational resources that most traditional hospital systems lack. The persistent problem of closed electronic health record systems further complicates implementation. Healthcare typically can take 15 years to adopt new technologies, even those with proven efficacy and safety records. Publications we discuss: —Impact of Artificial Intelligence-Based Triage Decision Support on Emergency Department Care (NEJM AI) —Leveraging Artificial Intelligence to Reduce Diagnostic Errors in Emergency Medicine: Challenges, Opportunities, and Future Directions (AEM) —Enhancing Emergency Department Triage Equity With Artificial Intelligence: Outcomes From a Multisite Implementation (Annals of EM) If you enjoy the show, please leave a ⭐⭐⭐⭐⭐ rating on Apple or a 👍🏻 on YouTube. Subscribe via the Website. Forward to a friend today!
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    28 mins